Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka "deep learning") approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. This course is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. During the 10-week course, students will learn to implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision. The final assignment will involve training a multi-million parameter convolutional neural network and applying it on the largest image classification dataset (ImageNet). We will focus on teaching how to set up the problem of image recognition, the learning algorithms (e.g. backpropagation), practical engineering tricks for training and fine-tuning the networks and guide the students through hands-on assignments and a final course project. Much of the background and materials of this course will be drawn from the ImageNet Challenge.

Hybrid Scoring Collection: STRINGS is the first instalment in our new range of instruments for Kontakt.The first of it's kind, this library combines not only orchestral textures but more modern instruments such as guitars, bass, mandolin and a wide range of custom designed effects.

Languages: English | File Size: 864.68 MBWordWeb Pro can look up words in virtually any program with just one click: just hold down the Ctrl key and right-click on the word. If you are online, with one extra click you can also search web references, for example Wikipedia. The hotkey can be customized, or you can use a keyboard shortcut if you prefer.

macOS 10.9 or later | Language: English | Size: 346 MBEnjoy the best of the best relaxation video content on your Mac. Carefully filmed scenes of nature like: under the stars, the universe, milky way will bring in the calm ambience to your lovely home.

From one of today's most respected authorities on stock investing, Winning the Loser's Game explains how you can avoid common traps and succeed in today's volatile markets. Ellis presents the cold, hard facts about important changes in the market over the past 50 years, why succeeding with active investing has become more difficult, and how you can outperform markets for steady, long-term gain. With lower rates of return now and over the next several years, you need to rethink your overall approach to investing, and Ellis shows how in this heavily-updated edition.

At Digital-Tutors, we've found that many students starting out in modeling have difficulty in creating the specific vision they have. In many cases it's not necessarily a lack of knowledge of the tools as much as it is a lack of confidence and experience. So, to give you a head start on your modeling, we've put together a number of tips collected from production and from teaching students that will help you build the best models you can with minimal frustration.We'll talk about breaking down our modeling projects into manageable chunks. Then we'll cover methods for staying aware of as much information as possible about our geometry while we work. We'll cover specific techniques for adding circular resolution to square objects and go over setting up image planes. This course is meant for students that have some modeling experience and are familiar with some modeling tools but would like a few tips for creating a smoother workflow and getting better results.